Can I Run Bonsai 27B on Mac Studio (M4 Max, 64 GB)?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 15 lipca 2026
Yes — comfortably
Yes, comfortably — 1-bit Bonsai 27B at 1-bit (binary, ~1.125 bpw) needs about 6.3 GB of the 48 GB usable on Mac Studio (M4 Max, 64 GB), leaving ~41.7 GB spare and running at ~53.8 tok/s (estimated), with room for about 131,072 tokens of context.
Confidence: medium · Recommended quantization: 1-bit (binary, ~1.125 bpw) · Estimated speed: ~53.8 tok/s
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Mac Studio (M4 Max, 64 GB) — what it gives a model
| Usable memory for models | 48 GB |
| Memory bandwidth | 546 GB/s |
| Form factor | Desktop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
Bonsai 27B on Mac Studio (M4 Max, 64 GB): memory by quantization
| Quant | Memory needed | Fits 48 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| 1-bit (binary, ~1.125 bpw) | 6.3 GB | ✓ Yes | 128K | ~53.8 tok/s | 3.8 GB |
Which Bonsai 27B sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| 1-bit Bonsai 27B | 18.8 GB | ✓ Fits | ~16.6 tok/s |
| Ternary Bonsai 27B | 18.8 GB | ✓ Fits | ~16.6 tok/s |
What to watch out for
- This model does not publish its full attention configuration, so the KV-cache share of these figures is inferred from its parameter count rather than computed exactly.
- Memory on this machine is not upgradeable, so the configuration you buy is the ceiling for every model you will ever run on it.
Mac Studio M4 Max 64 GB limitations
- Memory is soldered; the configuration chosen at purchase is permanent.
Recommended setup
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
How these numbers are calculated
- Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
- 64 GB unified memory at 546 GB/s, shared between CPU and GPU.
- macOS reserves a share of unified memory for the system, so not all of it is available to a model.
- Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
- KV cache is inferred from the parameter count because this model does not publish its full attention configuration.
FAQ
Can I run Bonsai 27B on Mac Studio (M4 Max, 64 GB)?
Yes, comfortably — 1-bit Bonsai 27B at 1-bit (binary, ~1.125 bpw) needs about 6.3 GB of the 48 GB usable on Mac Studio (M4 Max, 64 GB), leaving ~41.7 GB spare and running at ~53.8 tok/s (estimated), with room for about 131,072 tokens of context.
Which quantization of Bonsai 27B should I use on Mac Studio (M4 Max, 64 GB)?
1-bit (binary, ~1.125 bpw) — it needs about 6.3 GB of the 48 GB available, downloads as roughly 3.8 GB, and runs at an estimated 53.8 tokens/sec with up to 128K of context.
What limits Bonsai 27B on Mac Studio (M4 Max, 64 GB)?
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Which runtime should I use?
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Other Computers
Other Models on Mac Studio (M4 Max, 64 GB)
- Codestral on Mac Studio (M4 Max, 64 GB)
- Cogito v1 on Mac Studio (M4 Max, 64 GB)
- Command R Family on Mac Studio (M4 Max, 64 GB)
- Cosmos 3 on Mac Studio (M4 Max, 64 GB)
- DeepSeek-OCR on Mac Studio (M4 Max, 64 GB)
Bonsai 27B on GPUs
- Bonsai 27B on NVIDIA GeForce RTX 5070
- Bonsai 27B on NVIDIA GeForce RTX 5060 Ti 8GB
- Bonsai 27B on NVIDIA GeForce RTX 5060
- Bonsai 27B on NVIDIA GeForce RTX 4070 Ti
What This Model Is Good At
Model & Tools
← Can I Run It? | Bonsai 27B model page | Check your hardware